The goal was to design a system for Analytify that helps D2C footwear brands quickly identify key metrics and drivers, enabling data-driven decisions and reducing reliance on analysts. This project involves creating user journeys and wireframes to address delayed insights and misallocated resources during critical periods.
I’m driven to design intuitive tools that streamline data analytics, empowering teams to make informed and timely decisions.
Steps to Address the Challenge
To approach this problem, I began with desk research to gain insights into conventional data analytics systems and identify their limitations. I made thoughtful assumptions to guide the process and carefully defined stakeholders and use cases to ensure the solution addressed their needs. Through iterative ideation, I explored various possibilities, leading to a final design that streamlined data analysis and empowered teams to make timely, informed decisions.
Learnings from This Project
Importance of User-Centric Design: Understanding stakeholders and use cases early on ensures the solution aligns with real user needs.
Iterative Feedback is Key: Usability testing highlighted gaps that were crucial for refining the final design.
Balancing Assumptions and Data: Making informed assumptions is necessary, but validating them through research leads to better outcomes.
If I Had More Time
In-depth User Research: Conduct detailed interviews or surveys to gather more specific insights from stakeholders.
Enhanced Visual Design: Focus on polishing the UI for improved aesthetics and clarity.
Prototype Testing at Scale: Test the prototype with a larger group of users to identify broader patterns and ensure scalability.
